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For a function defined on a convex set in a Euclidean space, midpoint convexity is the property requiring that the value of the function at the midpoint of any line segment is not greater than the average of its values at the endpoints of…

Metric Geometry · Mathematics 2019-05-20 Satoko Moriguchi , Kazuo Murota , Akihisa Tamura , Fabio Tardella

In this paper we show that every sufficiently large family of convex bodies in the plane has a large subfamily in convex position provided that the number of common tangents of each pair of bodies is bounded and every subfamily of size five…

Metric Geometry · Mathematics 2014-04-10 Michael G. Dobbins , Andreas F. Holmsen , Alfredo Hubard

Shimizu and Takahashi have shown that every decreasing sequence of nonempty, bounded, closed, convex subsets of a complete, uniformly Takahashi convex metric space has nonempty intersection. It is well known that the Menger convexity is a…

General Topology · Mathematics 2024-08-13 Ajit Kumar Gupta , Saikat Mukherjee

The motivation of this paper is the development of an optimisation method for solving optimisation problems appearing in Chebyshev rational and generalised rational approximation problems, where the approximations are constructed as ratios…

Optimization and Control · Mathematics 2020-11-06 R. Díaz Millán , Nadezda Sukhorukova , Julien Ugon

We prove new, general versions of Bernstein-von Mises theorem for both well-specified and misspecified models when the log-likelihood is concave in the parameter and the prior distribution is log-concave. Unlike classical versions of…

Statistics Theory · Mathematics 2026-02-12 Victor-Emmanuel Brunel

We study weighted Chebyshev polynomials on compact subsets of the complex plane with respect to a bounded weight function. We establish existence and uniqueness of weighted Chebyshev polynomials and derive weighted analogs of Kolmogorov's…

Complex Variables · Mathematics 2025-08-13 Galen Novello , Klaus Schiefermayr , Maxim Zinchenko

We give an elementary proof of a compact embedding theorem in abstract Sobolev spaces. The result is first presented in a general context and later specialized to the case of degenerate Sobolev spaces defined with respect to nonnegative…

Analysis of PDEs · Mathematics 2011-11-01 Seng-Kee Chua , Scott Rodney , Richard L. Wheeden

Recently the theory of widths of Kolmogorov (especially of Gelfand widths) has received a great deal of interest due to its close relationship with the newly born area of Compressed Sensing. It has been realized that widths reflect properly…

Analysis of PDEs · Mathematics 2011-05-11 O. Kounchev

Much work has been devoted to bent functions in odd characteristic, but there still remains a gap between our knowledge of binary and nonbinary bent functions. In the first part of this paper, we attempt to partially bridge this gap by…

Discrete Mathematics · Computer Science 2026-04-20 Claude Carlet , and Alexander Kholosha

We extend the formality theorem of Maxim Kontsevich from deformations of the structure sheaf on a manifold to deformations of gerbes on smooth and complex manifolds.

Quantum Algebra · Mathematics 2014-10-30 Paul Bressler , Alexander Gorokhovsky , Ryszard Nest , Boris Tsygan

The regularity theory for variational inequalities over polyhedral sets developed in a series of papers by Robinson, Ralph and Dontchev-Rockafellar in the 90s has long become classics of variational analysis. But in the available proofs of…

Optimization and Control · Mathematics 2015-09-01 Alexander D. Ioffe

We introduce a generalization of relative entropy derived from the Wigner-Yanase-Dyson entropy and give a simple, self-contained proof that it is convex. Moreover, special cases yield the joint convexity of relative entropy, and for the map…

Quantum Physics · Physics 2015-05-13 Anna Jencova , Mary Beth Ruskai

This paper is mainly devoted to studying operator Jensen inequality. More precisely, a new generalization of Jensen inequality and its reverse version for convex (not necessary operator convex) functions have been proved. Several special…

Functional Analysis · Mathematics 2019-06-10 M. Shah Hosseini , H. R. Moradi , B. Moosavi

Fractal geometry and analysis constitute a growing field, with numerous applications, based on the principles of fractional calculus. Fractals sets are highly effective in improving convex inequalities and their generalisations. In this…

Functional Analysis · Mathematics 2024-01-02 Peter Olamide Olanipekun

Motivated by a long-standing conjecture of Polya and Szeg\"o about the Newtonian capacity of convex bodies, we discuss the role of concavity inequalities in shape optimization, and we provide several counterexamples to the…

Optimization and Control · Mathematics 2011-02-10 Dorin Bucur , Ilaria Fragalà , Jimmy Lamboley

In this paper we investigate the regularity properties of weighted Bergman projections for smoothly bounded pseudo-convex domains of finite type in $\mathbb{C}^{n}$. The main result is obtained for weights equal to a non negative rational…

Complex Variables · Mathematics 2013-05-24 Philippe Charpentier , Yves Dupain , Modi Mounkaila

In this paper we demonstrate that a well known linear inequality method developed for rational Chebyshev approximation is equivalent to the application of the bisection method used in quasiconvex optimisation. Although this correspondence…

Optimization and Control · Mathematics 2020-11-17 Vinesha Peiris , Nadezda Sukhorukova

We give simple new proofs of two well-known results for the Schr\"odinger operator: first, the Brunn--Minkowski inequality for Dirichlet eigenvalues and, second, the log-concavity of the first Dirichlet eigenfunction. Our proof of the first…

Analysis of PDEs · Mathematics 2026-05-05 Paul Bryan , Julie Clutterbuck , Cale Rankin

In 1989 H. Tverberg proposed a quite general conjecture in Discrete geometry, which could be considered as the common basis for many results in Combinatorial geometry and at the same time as a discrete analogue of the common transversal…

Combinatorics · Mathematics 2007-05-23 Sinisa T. Vrecica

Mond and Pecaric proposed a powerful method, namd as MP method, to deal with operator inequalities. However, this method requires a real-valued function to be convex or concave, and the normalized positive linear map between Hilbert spaces.…

Functional Analysis · Mathematics 2024-04-19 Shih-Yu Chang
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